Gender analysis of Pre-service Teachers’ Intention and Motivation towards Adopting Mobile Learning

Authors

  • Fasanya Hakeem Adefemi Author

Keywords:

Gender, Pre-service Teacher, Intention, Motivation, Mobile Learning

Abstract

The study is about pre-service teachers’ intention and motivation towards mobile learning. The study was con- ducted using 200 (100 males and 100 females) pre-service teachers of the Lagos State University, Lagos, Nigeria. Using descriptive-field method, a researcher-made Likert scale questionnaire was developed to identify the par- ticipants’ intentions and motivation for mobile learning. Ten questions each were created to measure each trait. Kuder Richardson k-R 21 formula was used to confirm that the instrument is good enough for the intended use. Consequently, reliability coefficient of 0.74 was obtained. The study reveals that participants have high intentions for mobile learning and that they are motivated for mobile learning. T-test was used to examine significance of the mean difference between the male and female participants’ submissions. Although, male pre-service teachers have higher mean values than female pre-service teachers in all variables, the means difference of the submissions are not statistically significant. Going by the findings, it was recommended among other things that the government should continue to encourage, support and sponsor mobile teaching trainings. Moreover, the government should take advantage of this to expand access to education by creating substantial opportunities for mobile learning edu- cation so as to be able to take in all qualified candidates into the universities.

Downloads

Download data is not yet available.

References

Abu-Al-Aish, A., Love, S., & Hunaiti, Z. (2012). Mathematics students’ readiness for mobile learning. International

Journal of Mobile and Blended Learning (IJMBL), 4(4), 1-20.

Al-Emran, M., & Salloum, S. A. (2017). Students’ Attitudes Towards the Use of Mobile Technologies in e-Evaluation.

Int. J. Interact. Mob. Technol., 11(5), 195-202.

Allaire, F. S., & Kamas, B. (2021). Connecting Pre-Service Teachers to Astronauts and the International Space Station

Through an Educational Downlink: An Out-of-This-World Experience. In Enhancing Learning Opportunities Through Student, Scientist, and Teacher Partnerships (pp. 158-177). IGI Global

Amadi, E. C., & Urho, P. (2015). Educational management planners’ view of strike action and its effects on educational management in universities in Rivers State. Singaporean journal of business economics and management studies, 4(7), 45-55

Burnett, M., Fleming, S. D., Iqbal, S., Venolia, G., Rajaram, V., Farooq, U., ... & Czerwinski, M. (2010, September).

Gender differences and programming environments: across programming populations. In Proceedings of the

2010 ACM-IEEE international symposium on empirical software engineering and measurement (pp. 1-10).

Economides, A. A., & Grousopoulou, A. (2008). Use of mobile phones by male and female Greek students. International Journal of mobile communications, 6(6), 729-749

Harasim, L. (2017). Learning theory and online technologies. Taylor & Francis

Jacob, O. N., & Samuel, A. (2020). Educational policy in Nigerian: Challenges of Implementation and Ways Forward.

Middle European Scientific Bulletin, 4, 1-9.

Kukulska-Hulme, A., & Traxler, J. (Eds.). (2005). Mobile learning: A handbook for educators and trainers. Psychology Press

Mathews, S. M., & Savarimuthu, A. (2020). Role of Education in Transmitting Culture in Society. In Conference:

Role of Education in Transmitting Culture in Society.–2020

Matzavela, V., & Alepis, E. (2021). M-learning in the COVID-19 era: physical vs digital class. Education and Information Technologies, 26(6), 7183-7203.

Mazana, Y. M., Suero Montero, C., & Olifage, C. R. (2019). Investigating students’ attitude towards learning mathematics.

Mbilu, E. M. (2019). Non-Formal Education and Quality Basic Education for All in Tanzania: A study of the Effectiveness of Non-Formal Education Programs for Children of School-going Age in Korogwe District (Master’s thesis).

Merriam-Webster (2023). Gender / Intention / Motivation. In E.M.Sanchez (Ed.), Merriam-Webster. https://www.

merriam-webster.com/dictionary/gender/intention/motivation

Odede, I. (2021). An assessment of students’ perception and self-efficacy towards mobile learning: A case of University of Zululand. South African Journal of Information Management, 23(1), 1-8.

Pallas, A. M. (2000). The effects of schooling on individual lives. In Handbook of the Sociology of Education (pp.

499-525). Boston, MA: Springer US.

Rahmania, I., Budiono, B., Soenaryo, S. F., Syakur, A., & Tinus, A. (2020). Implementation of internal quality guarantee system to increase the quality of education in Junior High School 21 Malang. Budapest International

Research and Critics in Linguistics and Education (BirLE) Journal, 3(1), 421-432.

Shuja, A., Qureshi, I. A., Schaeffer, D. M., & Zareen, M. (2019). Effect of M-Learning on Students’ Academic Performance Mediated by Facilitation Discourse and Flexibility. Knowledge Management & E-Learning, 11(2),

158-200

Thornton, P., & Houser, C. (2004, March). Using mobile phones in education. In The 2nd IEEE International Workshop on Wireless and Mobile Technologies in Education, 2004. Proceedings. (pp. 3-10). IEEE.

Walker, J., Pearce, C., Boe, K., & Lawson, M. (2019). The Power of Education to Fight Inequality: How increasing

educational equality and quality is crucial to fighting economic and gender inequality. Oxfam

Yusuf, M. O. (2005). Information and communication technology and education: Analysing the Nigerian national

policy for information technology. International education journal, 6(3), 316-321.

Downloads

Published

2024-01-01